Representações da sexualidade em produto cultural: percepções e impressões de um filme

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A Escola de Chicago e a sociologia no Brasil: a passagem de Donald Pierson pela Escola Livre de Sociologia e Política de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Os pressupostos do debate intelectual entre Floresta Fernandes e Guerreiro Ramos: duas versões de teoria crítica da sociedade brasileira?

Pós-graduação em Ciências Sociais - FFC

Raízes da Vergonha: um estudo psicossociológico sobre a vivência de trecheiros

Pós-graduação em Psicologia - FCLAS

Notas em torno das origens da tradição do método

Este artigo tem como motivação inicial inquietações nascidas da leitura de alguns trabalhos que se apresentam como projetos de pesquisa em Ciências Sociais. Mais especificamente, nos chama atenção a discussão freqüentemente apresentada como procedimentos metodológicos. Em nome de um enfrentamento das deficiências que ali julgamos presentes, procuramos resgatar traços de uma trajetória da discussão sobre o método. Nesse itinerário, assumimos como pressuposto subjacente que cada um dos clássicos fundadores conhecia o que há de fundamental na tradição da reflexão sobre o tema.

Pattern recognition issues on anisotropic smoothed particle hydrodynamics

This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation.

A crise na sociedade do trabalho e sua importância na contextualização dos conteúdos curriculares do ensino médio

This article has as objective to discuss some topics concerning the supposed crisis of the society of the work and its consequences for the debate in social sciences and also for the work category contextualization in the secondary school curriculum. As the work has represented an important explanation category for the classic social thought, the contemporary paradigm of deep metamorphoses in the world of the work and the advent of the new question (CASTELS, 1995; ROSANVALLON, 1995) backward the necessity to rethink the theoretical shades that base the interpretation of the social life on the current context, when the center position of the work is being questioned. Having taken some theoretical references from the sociology of the work, we search to delineate on a brief way the quarrel about the dimensions of the social and political phenomena these days and the importance of this debate on the contextualization of the secondary school curriculum contents.

Use of virtual labs for enhance student's procedimental ability.

This article presents some results of a study investigating the use of the simulator VLAB, developed by Carnegie Mellon University, to increase the capacity of graduate students in Chemistry in the preparation of experimental procedures. The activity was conducted in two stages, first the students were asked a manuscript describing in detail the procedure and equipment used in the technique of dissolution and delivering it to the teacher. Later in the computer lab, each student performed the same procedure using the simulator. The activity has been proposed to determine if there could be accuracy gains of the description of the process when performed by the simulator. One of the main positive aspects obtained using the simulator students was the recognition of error, important in that the great majority recognized omitted or confused any process step. This reflection showed the students that in addition to testing a procedure using the simulator facilitates the organization of thought and helps arrange it logically. With the use of simulators, students are encouraged to take risks, to explore, to experience a new way, and a real lab usually offers much less room for risk, exploitation and failure.

Automatic method to classify images based on multiscale fractal descriptors and paraconsistent logic

In this study is presented an automatic method to classify images from fractal descriptors as decision rules, such as multiscale fractal dimension and lacunarity. The proposed methodology was divided in three steps: quantification of the regions of interest with fractal dimension and lacunarity, techniques under a multiscale approach; definition of reference patterns, which are the limits of each studied group; and, classification of each group, considering the combination of the reference patterns with signals maximization (an approach commonly considered in paraconsistent logic). The proposed method was used to classify histological prostatic images, aiming the diagnostic of prostate cancer. The accuracy levels were important, overcoming those obtained with Support Vector Machine (SVM) and Bestfirst Decicion Tree (BFTree) classifiers. The proposed approach allows recognize and classify patterns, offering the advantage of giving comprehensive results to the specialists.

Classification of histological images based on the stationary wavelet transform

Non-Hodgkin lymphomas are of many distinct types, and different classification systems make it difficult to diagnose them correctly. Many of these systems classify lymphomas only based on what they look like under a microscope. In 2008 the World Health Organisation (WHO) introduced the most recent system, which also considers the chromosome features of the lymphoma cells and the presence of certain proteins on their surface. The WHO system is the one that we apply in this work. Herewith we present an automatic method to classify histological images of three types of non-Hodgkin lymphoma. Our method is based on the Stationary Wavelet Transform (SWT), and it consists of three steps: 1) extracting sub-bands from the histological image through SWT, 2) applying Analysis of Variance (ANOVA) to clean noise and select the most relevant information, 3) classifying it by the Support Vector Machine (SVM) algorithm. The kernel types Linear, RBF and Polynomial were evaluated with our method applied to 210 images of lymphoma from the National Institute on Aging. We concluded that the following combination led to the most relevant results: detail sub-band, ANOVA and SVM with Linear and RBF kernels.

A quantum theory for the excitation spectrum of a rectangular Andreev billiard

We consider a N - S box system consisting of a rectangular conductor coupled to a superconductor. The Green functions are constructed by solving the Bogoliubov-de Gennes equations at each side of the interface, with the pairing potential described by a step-like function. Taking into account the mismatch in the Fermi wave number and the effective masses of the normal metal - superconductor and the tunnel barrier at the interface, we use the quantum section method in order to find the exact energy Green function yielding accurate computed eigenvalues and the density of states. Furthermore, this procedure allow us to analyze in detail the nontrivial semiclassical limit and examine the range of applicability of the Bohr-Sommerfeld quantization method.